Imperial College London
Alternate

DrOliverRatmann

Faculty of Natural Sciences, Department of Mathematics

Reader in Statistics and Machine Learning for Public Good
 
 
 
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oliver.ratmann05 Website

 
 
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525Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ratmann:2020:10.1016/s2352-3018(19)30378-9,
author = {Ratmann, O and Kagaayi, J and Hall, M and Golubchick, T and Kigozi, G and Xi, X and Wymant, C and Nakigozi, G and Abeler-Dörner, L and Bonsall, D and Gall, A and Hoppe, A and Kellam, P and Bazaale, J and Kalibbala, S and Laeyendecker, O and Lessler, J and Nalugoda, F and Chang, LW and de, Oliveira T and Pillay, D and Quinn, TC and Reynolds, SJ and Spencer, SEF and Ssekubugu, R and Serwadda, D and Wawer, MJ and Gray, RH and Fraser, C and Grabowski, MK and Ayles, H and Bowden, R and Calvez, V and Cohen, M and Dennis, A and Essex, M and Fidler, S and Frampton, D and Hayes, R and Herbeck, J and Kaleebu, P and Kityo, C and Lingappa, J and Novitsky, V and Paton, N and Rambaut, A and Seeley, J and Ssemwanga, D and Tanser, F and Lutalo, T and Galiwango, R and Makumbi, F and Sewankambo, NK and Nabukalu, D and Ndyanabo, A and Ssekasanvu, J and Nakawooya, H and Nakukumba, J and Kigozi, GN and Nantume, BS and Resty, N and Kambasu, J and Nalugemwa, M and Nakabuye, R and Ssebanobe, L and Nankinga, J},
doi = {10.1016/s2352-3018(19)30378-9},
journal = {The Lancet HIV},
pages = {e173--e183},
title = {Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda},
url = {http://dx.doi.org/10.1016/s2352-3018(19)30378-9},
volume = {7},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundInternational and global organisations advocate targeting interventions to areas of high HIV prevalence (ie, hotspots). To better understand the potential benefits of geo-targeted control, we assessed the extent to which HIV hotspots along Lake Victoria sustain transmission in neighbouring populations in south-central Uganda.MethodsWe did a population-based survey in Rakai, Uganda, using data from the Rakai Community Cohort Study. The study surveyed all individuals aged 15–49 years in four high-prevalence Lake Victoria fishing communities and 36 neighbouring inland communities. Viral RNA was deep sequenced from participants infected with HIV who were antiretroviral therapy-naive during the observation period. Phylogenetic analysis was used to infer partial HIV transmission networks, including direction of transmission. Reconstructed networks were interpreted through data for current residence and migration history. HIV transmission flows within and between high-prevalence and low-prevalence areas were quantified adjusting for incomplete sampling of the population.FindingsBetween Aug 10, 2011, and Jan 30, 2015, data were collected for the Rakai Community Cohort Study. 25882 individuals participated, including an estimated 75·7% of the lakeside population and 16·2% of the inland population in the Rakai region of Uganda. 5142 participants were HIV-positive (2703 [13·7%] in inland and 2439 [40·1%] in fishing communities). 3878 (75·4%) people who were HIV-positive did not report antiretroviral therapy use, of whom 2652 (68·4%) had virus deep-sequenced at sufficient quality for phylogenetic analysis. 446 transmission networks were reconstructed, including 293 linked pairs with inferred direction of transmission. Adjusting for incomplete sampling, an estimated 5·7% (95% credibility interval 4·4–7·3) of transmissions occurred within lakeside areas, 89·2% (86·0–91·
AU  - Ratmann,O
AU  - Kagaayi,J
AU  - Hall,M
AU  - Golubchick,T
AU  - Kigozi,G
AU  - Xi,X
AU  - Wymant,C
AU  - Nakigozi,G
AU  - Abeler-Dörner,L
AU  - Bonsall,D
AU  - Gall,A
AU  - Hoppe,A
AU  - Kellam,P
AU  - Bazaale,J
AU  - Kalibbala,S
AU  - Laeyendecker,O
AU  - Lessler,J
AU  - Nalugoda,F
AU  - Chang,LW
AU  - de,Oliveira T
AU  - Pillay,D
AU  - Quinn,TC
AU  - Reynolds,SJ
AU  - Spencer,SEF
AU  - Ssekubugu,R
AU  - Serwadda,D
AU  - Wawer,MJ
AU  - Gray,RH
AU  - Fraser,C
AU  - Grabowski,MK
AU  - Ayles,H
AU  - Bowden,R
AU  - Calvez,V
AU  - Cohen,M
AU  - Dennis,A
AU  - Essex,M
AU  - Fidler,S
AU  - Frampton,D
AU  - Hayes,R
AU  - Herbeck,J
AU  - Kaleebu,P
AU  - Kityo,C
AU  - Lingappa,J
AU  - Novitsky,V
AU  - Paton,N
AU  - Rambaut,A
AU  - Seeley,J
AU  - Ssemwanga,D
AU  - Tanser,F
AU  - Lutalo,T
AU  - Galiwango,R
AU  - Makumbi,F
AU  - Sewankambo,NK
AU  - Nabukalu,D
AU  - Ndyanabo,A
AU  - Ssekasanvu,J
AU  - Nakawooya,H
AU  - Nakukumba,J
AU  - Kigozi,GN
AU  - Nantume,BS
AU  - Resty,N
AU  - Kambasu,J
AU  - Nalugemwa,M
AU  - Nakabuye,R
AU  - Ssebanobe,L
AU  - Nankinga,J
AU  - Kayiira,A
AU  - Nanfuka,G
AU  - Ahimbisibwe,R
AU  - Tomusange,S
AU  - Galiwango,RM
AU  - Nakalanzi,M
AU  - Otobi,JO
AU  - Ankunda,D
AU  - Ssembatya,JL
AU  - Ssemanda,JB
AU  - Kato,E
AU  - Kairania,R
AU  - Kisakye,A
AU  - Batte,J
AU  - Ludigo,J
AU  - Nampijja,A
AU  - Watya,S
AU  - Nehemia,K
AU  - Anyokot,SM
AU  - Mwinike,J
AU  - Kibumba,G
AU  - Ssebowa,P
AU  - Mondo,G
AU  - Wasswa,F
AU  - Nantongo,A
AU  - Kakembo,R
AU  - Galiwango,J
AU  - Ssemango,G
AU  - Redd,AD
AU  - Santelli,J
AU  - Kennedy,CE
AU  - Wagman,J
AU  - Tobian,A
DO  - 10.1016/s2352-3018(19)30378-9
EP  - 183
PY  - 2020///
SN  - 2352-3018
SP  - 173
TI  - Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda
T2  - The Lancet HIV
UR  - http://dx.doi.org/10.1016/s2352-3018(19)30378-9
UR  - https://www.sciencedirect.com/science/article/pii/S2352301819303789?via%3Dihub
UR  - http://hdl.handle.net/10044/1/76108
VL  - 7
ER  -
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